






'''simple docstring'''







import json
import sys
def     A__      (					__lowerCAmelCase		:      Any ,     __lowerCAmelCase		:      Optional[int]    ):
						with open(__lowerCAmelCase ,     encoding="""utf-8"""    ) as f:
												lowerCamelCase__								=	json.load(__lowerCAmelCase    )

						lowerCamelCase__								=	["""<details>""", """<summary>Show updated benchmarks!</summary>""", """ """]

						for benchmark_name in sorted(__lowerCAmelCase    ):
												lowerCamelCase__								=	results[benchmark_name]

												lowerCamelCase__								=	benchmark_name.split("""/"""    )[-1]
												output_md.append(F'''### Benchmark: {benchmark_file_name}'''    )

												lowerCamelCase__								=	"""| metric |"""
												lowerCamelCase__								=	"""|--------|"""
												lowerCamelCase__								=	"""| new / old (diff) |"""
												for metric_name in sorted(__lowerCAmelCase    ):
																		lowerCamelCase__								=	benchmark_res[metric_name]
																		lowerCamelCase__								=	metric_vals["""new"""]
																		lowerCamelCase__								=	metric_vals.get("""old""" ,     __lowerCAmelCase    )
																		lowerCamelCase__								=	metric_vals.get("""diff""" ,     __lowerCAmelCase    )

																		lowerCamelCase__								=	F''' {new_val:f}''' if isinstance(__lowerCAmelCase ,     (int, float)    ) else """None"""

																		if old_val is not None:
																								val_str += F''' / {old_val:f}''' if isinstance(__lowerCAmelCase ,     (int, float)    ) else "None"
																		if dif_val is not None:
																								val_str += F''' ({dif_val:f})''' if isinstance(__lowerCAmelCase ,     (int, float)    ) else "None"

																		title += " " + metric_name + " |"
																		lines += "---|"
																		value += val_str + " |"

												output_md += [title, lines, value, " "]

						output_md.append("""</details>"""    )

						with open(__lowerCAmelCase ,     """w""" ,     encoding="""utf-8"""    ) as f:
												f.writelines("""\n""".join(__lowerCAmelCase    )    )


if __name__ == "__main__":
							UpperCamelCase     :   Dict	      =		sys.argv[1]
							UpperCamelCase     :   Any	      =		sys.argv[2]

							format_json_to_md(input_json_file, output_md_file)



# Copyright 2021 The HuggingFace Team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
#     http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.

import argparse
import os

from accelerate.utils import ComputeEnvironment

from .cluster import get_cluster_input
from .config_args import cache_dir, default_config_file, default_yaml_config_file, load_config_from_file  # noqa: F401
from .config_utils import _ask_field, _ask_options, _convert_compute_environment  # noqa: F401
from .sagemaker import get_sagemaker_input


__lowerCAmelCase     :	Optional[Any]       			=  'Launches a series of prompts to create and save a `default_config.yaml` configuration file for your training system. Should always be ran first on your machine'

def a__       (			):






  '''simple docstring'''





  __magic_name__								=			_ask_options(
      """In which compute environment are you running?""",	["""This machine""", """AWS (Amazon SageMaker)"""],	_convert_compute_environment,	)
  if compute_environment == ComputeEnvironment.AMAZON_SAGEMAKER:
    __magic_name__								=			get_sagemaker_input()
  else:
    __magic_name__								=			get_cluster_input()
  return config

def a__       (			A_=None   ):






  '''simple docstring'''





  if subparsers is not None:
    __magic_name__								=			subparsers.add_parser("""config""",	description=A_   )
  else:
    __magic_name__								=			argparse.ArgumentParser("""Accelerate config command""",	description=A_   )

  parser.add_argument(
      """--config_file""",	default=A_,	help=(
          """The path to use to store the config file. Will default to a file named default_config.yaml in the cache """
          """location, which is the content of the environment `HF_HOME` suffixed with 'accelerate', or if you don't have """
          """such an environment variable, your cache directory ('~/.cache' or the content of `XDG_CACHE_HOME`) suffixed """
          """with 'huggingface'."""
      ),	)

  if subparsers is not None:
    parser.set_defaults(func=A_   )
  return parser

def a__       (			A_   ):






  '''simple docstring'''





  __magic_name__								=			get_user_input()
  if args.config_file is not None:
    __magic_name__								=			args.config_file
  else:
    if not os.path.isdir(A_   ):
      os.makedirs(A_   )
    __magic_name__								=			default_yaml_config_file

  if config_file.endswith(""".json"""   ):
    config.to_json_file(A_   )
  else:
    config.to_yaml_file(A_   )
  print(f'''accelerate configuration saved at {config_file}'''   )

def a__       (			):






  '''simple docstring'''





  __magic_name__								=			config_command_parser()
  __magic_name__								=			parser.parse_args()
  config_command(A_   )


if __name__ == "__main__":
    main()

